Representação e aquisição de regras em sistemas conexionistas

AUTOR(ES)
DATA DE PUBLICAÇÃO

1995

RESUMO

This work addresses the problem of representing structured knowledge (as a set of rules) in connectionist systems. First, modular connectionist networks are studied. In this kind of network, groups of neurons may be associated with rule antecedents or consequents. Next, we show some ways by which these networks are associated with fuzzy logic concepts (neuro-fuzzy systems). An algorithm for incremental rule is proposed for these systems. Strucutural modification as well as parameters adaptation are considered. New rules are added periodically to deal with patterns which are not yet convered by the existing rules. The error that results from the application of each rule is used as an indication for membership function construction ... Note: The complete abstract is available with the full electronic digital thesis or dissertations

ASSUNTO(S)

representation of knowledge (information theory) neural networks (computer science) redes neurais (computação) sistemas difusos fuzzy systems representação do conhecimento (teoria da informação)

ACESSO AO ARTIGO

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